Our proposed method of jointly optimizing motion-corrupt MRI with score-based generative models provides high fidelity images compared to even the best case scenario (motion free measurements) for L1 Wavelet, which is similar to previously proposed joint motion correction techniques [1]}, [2]}, [3]} but at higher acceleration levels. This retrospective study, however, did not compare to end-to-end supervised methods which are becoming popular motion correction techniques [4]}, but are also not typically not used at high accelerations, nor was it applied to prospectively acquired motion-corrupt MRI.
